Cleanliness Specification for Expanded Beam Connectors...
Transcript of Cleanliness Specification for Expanded Beam Connectors...
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Development of Cleanliness
Specification for Expanded Beam
Connectors Project
End of Project Brief
July 20 , 2016
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Project Members• Tatiana Berdinskikh
• Tom Coughlin
• Michael Kadar-Kallen, Mike Gurreri
• Christine Chen
• Ken Toyama, Mark Marino
• Doug Wilson
• Tom Mitcheltree
• Kevin Chaloupka, George Megason
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Development Cleanliness SpecificationStandards Development
2002 2010 2015
Fiber Optic End-Face Inspection, Phase I , II
Sumitomo transceiver study
Particles Thickness Project
Expanded beam MM connectors
Impact of connector RL on 40G transmissionLens-based
transceiver initial study
Optical Signal Performance
IPC-8497-1
IEC 61300-3-35
IEC/TR 62572-4
IEC 62627-05-TRIEC Scratch Recognition Task Force
Completed projects
Projects in progress
New Projects
MM Expanded Beam - Visual Inspection Criteria
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Cleanliness Specification for Expanded Beam Connectors 10+ years of iNEMI research on the impact of contamination on fiber optic connector performance provides a quantitative approach to developing the first-ever industry cleanliness specification for expanded beam connectors.
Photos above (clockwise from top left): Molex expanded beam connector; US Conec PRIZM LT Connector; US Conec MXC connector with PRIZM MT ferrules.
• WhatdoesacleanlinessspecificationmeanforMegaDataCenters?
• How“clean”mustanexpandedbeamconnectorbetomeetopticalperformancerequirements?
• Whatistheimpactofcontamination/scratchesontheopticalperformanceofexpandedbeamconnectors?
• HowcanDataCentercosts(cleaning)bereducedbydevelopmentofacleanlinessspecificationthatisbasedonaquantitativeapproachandisacceptedbytheindustry?
Ref: Project Collateral
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Development of Cleanliness Specification for Expanded Beam Connectors Project
Project Background• To date, no formal inspection contamination criteria have
been adopted by the industry for any expanded beam connector. This project is being organized to develop recommendations for visual inspection criteria for expanded beam connectors based on experimental and modeling data.
Project Objectives:• Investigate the impact of contamination on optical
performance (transmitted power) of expanded beam optical connectors- Completed
• Develop a cleanliness specification for expanded beam connectors from the results of the investigation of impact contamination and defects- Further Development is required
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Project Plan & Milestones
Task Complete Q1 Q2 Q3 Q41. Empirical MMF IL data on PRIZM®-LT
2.Empirical MMF IL data on MT jumpers
3.Data review, contamination modeling
4. White paper development
5. Present the results to IEC, SC86B, WG4 & WG6
6. End of project webinar
Current Status: -2 different sets of experimental data, 2 different modeling approaches-Good correlation between experimental and modeling data-New metric (calculated insertion loss) was developed -Paper published by Optical Interconnects conference (San Diego, CA, May 9-11, 2016)-Paper accepted: IWCS 2016 Int’l Cable & Connectivity Symposium (Providence, RI, Oct 2-5, 2016)-Project Webinar- July, 2016
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Overview• Experimental Measurement• Image Processing• Multimode Dust Loss Calculations• Raytrace based modeling• Comparison of Measured and Calculated Loss• Conclusions• Next Steps
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Goal• To quantify the impact dust has on IL on MT12F MM Lens
plate (Molex VersaBeam)
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Materials• Sample size: Eight 12F lens plates (in MTP connector)
terminated using standard MM 50/125um graded index ribbon fiber.
• Arizona road dust was applied only to the recessed lenses.
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Cross Section of Mated Lens Plate• The 12F lens plate is a collimated lens with an index of
refraction of 1.512 and distance from fiber endface to lens apex 0.53mm.
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Experimental Measurement Flowchart
Record initial photos of the DUT and
launch cable
MateRecord ILDe-Mate
Add Dust
Record photos of DUT. Clean launch cable if
dust is present
Clean DUT and launch
cable
Record photos of DUT and launch cable
M0
MC
MnRepeat
n = 1 to 5
MateRecord ILDe-Mate
MateRecord ILDe-Mate
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Examples of Fine Dust – S/N 005 – F7
M0
M5
MC
12
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Examples of Fine Dust – S/N 005 – F7
M5M0 MC
0.42dB 0.42dB0.76dB
Delta IL from M0: +0.34dB
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Examples of Coarse Dust – S/N 08 – F1
M0
M5
MC
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Image Acquisition and Processing
• FastMT used to collect images at various points in the data collection process, along with IL data
• Images were collected using backlighting to improve defect detection
• Lens specific processing developed• Weighted Occluded area was
computed for each image, using new method that computes weighting at each pixel location
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FastMT Lens Processing
• Converted image to Contrast Ratio (CR) space for improved threshold and detection
• CR is calculated by dividing the raw image by an estimate of the background computed adaptively or using analytic function.
• CR is independent of system gain terms:–Exposure, LED intensity, and camera gain
• CR improved defect detection accuracy
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CR Leveling of Uncontaminated Lens
LeveledRaw
Whitebandingatedgeoflenscausedbymismatchinquadraticmodeltoactualshape.Finaldatausedalargerdiametertoreducethiseffect.
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CR Leveling of Highly Contaminated Lens
LeveledRaw
PartID:ProcessSet6,Sample10,M1,Fiber03
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Occluded Area Processing
• Computed Quadratic Weighted Percent OA using:– Weight(r) =1-(r/Max Radius)^2– QWpOA= Sum of (Weight(r) * Occluded Area (r)) over all r
• Max Radius set to 70 um, max value of r=65 um (to avoid edge of lens artifacts)
• Weighting function computed at each pixel location (previous version used set of annular rings for an approximation of the weighted OA)
• Later data sets (not shown in this presentation) used:• Max Radius:75 um• Max value of r: 70 um
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Example OA: S-008, C, Fiber-01
Leveled Detected Defects OARings*
*Final datawascomputed usingapixel basedweighting functionratherthantheearlierOAringsshownhere
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Image Acquisition and Processing Summary
• Images were processed using FastMT processing with modifications to add new pixel based Occluded Area weighting
• Quadratic model used to level the intensity within the image before performing defect detection (Contrast Ratio method).
• Processed Images and computed weighted OA for eight samples of 12-lens MT’s, seven steps (C, M0, M1-5)
• Reduced OA to mean of the five cases (M1-M5) for total of 96 data points (8 samples x12 lenses)
• Defect pixel maps supplied as inputs to the modeling and loss calculations
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Multimode Loss CalculationsOverview
The multimode dust loss* is calculated based on two inputs:• The distribution of dust particles: D(x,y)• The distribution of light: I(x,y)This Calculated Loss is in strongly correlated with the Measured Loss. The Calculated Loss is nearly identical to the Simulated Loss determined by optical modeling.
*The “dust loss” is the additional losscaused by the presence of dust
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Estimate of the Beam Diameter
• Fiber numerical aperture: NA = 0.2• The lens plate comprises 12 collimating lenses with an index of
refraction n = 1.512 and distance from fiber endface to lens apex L = 0.53 mm
• Source: JGR MBR5 SLED @ 850 nm (Encircled Flux Launch conditions)
• Estimated beam diameter d = 0.140 mm
mm 0.140512.1
)2.0)(mm 0.53(2
NA2tan2
==
⋅≈≈
nLLd θ
θsinNA ⋅= n
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Multimode Power Transmission Through DustIn the absence of dust, the power in a beam of light is the integral of the intensity distribution over a surface that is perpendicular to the optical axis.
We define the dust transmissivity as
The fraction of the power transmitted by a dusty surface is
In a low-loss multimode system, all of the power that is transmitted through the dusty surface is coupled into the receiving fiber or detector.
∫∫∫∫ =⋅= dxdyyxIdAIP ),(
⎩⎨⎧
=otherwise1
present isdust where0),( yxD
∫∫∫∫=
dxdyyxI
dxdyyxDyxIT
),(
),(),(MM Dust,
MM Dust,10MM Dust, log10(dB)IL T−=
CircularDustParticleBlocksRaysofLightinaZemaxModel
Dust
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Multimode Intensity Distribution
The intensity distribution at the lens surface is approximated by a quadratic function of radius [cf. This is the distribution at the endface of a graded-index multimode fiber with overfilled launch (OFL) conditions].
For this particular data set, the dust data is only valid within a maximum radius rmax. This limit is therefore included in the intensity function:
Note that the launch conditions for the experiment meet encircled flux launch (EFL) conditions. A quadratic function is a reasonable, simple approximation to the actual intensity distribution.
( )⎩⎨⎧ ≤≤−
=otherwise00/1),(
2 arararI
( )⎩⎨⎧ ≤≤−
=otherwise0
)min(0/1),,( max2
maxa,rrarrarI
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Calculating the Multimode Dust Loss
I(x,y) D(x,y) I(x,y)D(x,y)
∫∫∫∫=
dxdyyxI
dxdyyxDyxIT
),(
),(),(MM Dust,
SumoverallpixelsSumoverallpixels
X =
White: D(x,y)=1(nodust)Black:D(x,y)=0(dust)
Calculated IntensityDistribution
Measured DustDistribution
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Image ProcessingRaw Leveled Particles
Intensity Final
X
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Comparison of “Raw” and “Final” ImagesRaw Final
Inthisexample, theareaobscuredbydust isunderestimated, thereforetheCalculatedLoss is lowerthantheMeasured Loss
Measured Loss=1.46dB Calculated Loss=1.04dB
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Calculated vs. Measured Loss
Calculated Loss=Measured Loss x0.768(3σ =0.009)R2 =0.993;3σy =0.38dB
Scale0– 20dB
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Calculated vs. Measured Loss: 0 – 5 and 0 – 1 dBScale0– 5 dB
12Lenses haveanaverageMeasuredDustLossgreaterthan0.6dB.The image dataforthese pointsareshowninthe “backup”slides.
Scale0– 1dB
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Optical modeling
.The lensmaterial hasanindexofrefractionn = 1.51;thenumerical aperture(NA)ofstandard50μmgraded indexfiber is0.2;andthedistance fromthefiberendface tothe lensapex isL = 0.53 mm.Theestimated beamdiameter istherefore2a ≈2L⋅NA/n =0.14 mm.
X
Y
Z
Gradedindex50µmfiber
Lenswithmaterialindexof1.51
0.53mm 0.6mm 0.53mm
Beamsize:0.14mm
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Overfilled launch vs encircled flux launch
Overfilled launchcondition caneasily besetup inaraytracebased opticalmodelingsystem. Itcanalsorepresented withaquadratic distribution inanalyticalmodel. Todemonstrate theconsistency betweenOFLandEFL,anstandard launchcondition forconnector insertion loss testspecified byIEC61280-4-1,aninvestigation is launched.
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Launch condition investigation, OFL vs EFL
OFLprofileatlenssurface EFLprofileatlenssurface
140um
50um
OFLprofileatfibersurface EFLprofileatfibersurface
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Comparison of simulated IL data
Simulation iscarriedoutforselected numberconnectors forinsertion loss usingbothOFLandEFLlaunchconditions andtheresults showshighdegreeofagreement between thetwolaunchconditions. Itfurther legitimize theuse ofquadraticdistribution ofintensity forlosscalculation inanalytical modeling.
y=0.9778x+0.0144R²=0.99992
0
5
10
15
0 5 10 15
Insertionlossund
erEF
Lcon
ditio
n(dB)
InsertionlossunderOFLcondition(dB)
EFLvsOFL, insertionlosssimulationdata
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Examples of modeled contaminated surface
0.0000
13.1175
26.2349
39.3524
52.4699
65.5874
78.7048
91.8223
104.9398
118.0572
131.1747
lens plate connector.zmxConfiguration 1 of 1
Image Diagram
5/25/2016Image Width = 0.2000 Millimeters, 200 x 200 pixelsField position: 0.0000, 0.0000 mmPercent efficiency: 33.367%, 3.337E-001 WattsSurface: 6. Units are watts per Millimeters squared.
0.0000
13.1174
26.2349
39.3523
52.4697
65.5872
78.7046
91.8220
104.9395
118.0569
131.1743
lens plate connector.zmxConfiguration 1 of 1
Image Diagram
5/25/2016Image Width = 0.2000 Millimeters, 200 x 200 pixelsField position: 0.0000, 0.0000 mmPercent efficiency: 32.843%, 3.284E-001 WattsSurface: 6. Units are watts per Millimeters squared.
0.0000
11.3685
22.7369
34.1054
45.4739
56.8424
68.2108
79.5793
90.9478
102.3162
113.6847
lens plate connector.zmxConfiguration 1 of 1
Image Diagram
5/25/2016Image Width = 0.2000 Millimeters, 200 x 200 pixelsField position: 0.0000, 0.0000 mmPercent efficiency: 33.804%, 3.380E-001 WattsSurface: 6. Units are watts per Millimeters squared.
Sample0011,Fiber07 Sample0011,Fiber10 Sample008,Fiber2
Simulated loss:1.11dBCalculated loss: 1.17dBMeasured loss:1.70dB
Simulated loss:1.21dBCalculated loss: 1.22dBMeasured loss:1.38dB
Simulated loss:1.96dBCalculated loss: 1.99dBMeasured loss:1.88dB
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Calculated vs Simulated Data
Excellent correlation between twomodeling methods isachieved.
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Summary• An analytical method of calculating loss under contaminated
conditions was shown to be nearly identical to an optical simulation using OFL or EFL launch conditions, and agrees reasonably well with experimental data.
• The analytical calculation requires a knowledge of the intensity distribution and a measurement of the dust distribution.
• In many cases, the simple quadratic intensity function presented here may provide acceptable results, in which case only a single parameter is needed: the diameter of the intensity distribution at the contaminated surface.
• This calculation can be easily incorporated into existing connector inspection equipment, which can use this information to generate both a pass/fail message and an estimate loss
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Conclusions• A simple analytical calculation is used to estimate the dust loss of
an expanded beam connector.
• Calculation of a single value, proven to be related to a key optical property of the link, is an ideal foundation for cleanliness specification for lens devices.
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A Proposed Cleanliness Specification forExpanded Beam Connectors
The cleanliness of a lensed surface is quantified by:• Specifying the intensity distribution at the lensed surface• Measuring the distribution of dust on this surface• Calculating the lossThe Calculated Loss is compared to an Acceptable Loss Limitto determine whether a dusty lens is a “PASS” or “FAIL”
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Next steps• Development of Cleanliness inspection criteria for expanded beam
connectors- Phase II• Additional data collection and analysis for different types of
expanded beam connectors• Collaboration with the standards bodies
• iNEMI research can be used as a baseline for the development of inspection criteria for expanded beam connectors
• Present the iNEMI research to IEC, 86B, WG4 members at 80th
IEC General meeting, Frankfurt, Germany, Oct 10-14
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Test & Measurement Equipment• IL meter: JGR MBR5 SLED @ 850nm (meeting encircled flux
specification).• FastMT 200 from FiberQA was used to capture lens photos
and dust size/location.
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From one measurement to the next, dust may move or may be added to or removed from the sample.• Calculate the “center of mass” of the dust distribution• Weight the dust data by the intensity distribution
If the denominator is zero (no dust in the beam path) thenxC = yC = 0
∫∫∫∫
−
−⋅=
dxdyyxDyxI
dxdyyxDyxIxxC )],(1)[,(
)],(1)[,(
∫∫∫∫
−
−⋅=
dxdyyxDyxI
dxdyyxDyxIyyC )],(1)[,(
)],(1)[,(
Average Dust Position (Weighted)
1ifdust ispresent0elsewhere
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M11.043.0
12.9
Dust in Motion!A B
Calc. IL(dB)xC (μm)yC (μm)
M21.22-0.99.9
M31.24-0.810.2
M41.201.7
10.3
M51.191.5
10.6
A) Anadditional piece ofdustentersthe image• Calculated loss increases 0.18dB;xC decreases by3.9μm;yC decreases by3.0μm
B) Thedustmergeswithotherdust• Calculated loss decreases 0.04dB;xC increases by2.5μm;yC remains thesame
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Raw and Final Images (1 of 3)Sample 0010,Fiber07
17.55dB13.68dBSample 0010,Fiber06
4.19dB3.23dB
Sample 0008,Fiber014.54dB3.21dB
Sample 0010,Fiber032.79dB1.99dB
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Raw and Final Images (2 of 3)Sample 0011,Fiber10
1.38dB1.22dBSample 0011,Fiber07
1.67dB1.17dB
Sample 0010,Fiber051.19dB0.84dB
Sample 0011,Fiber081.33dB0.70dB
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Raw and Final Images (3 of 3)
Sample 0010,Fiber110.78dB0.67dB
Sample 0008,Fiber021.87dB1.19dB
Sample 0011,Fiber091.36dB0.76dB
Sample 0010,Fiber040.63dB0.29dB